Program schedule announced. Papers will be presented on the 18th, while the challenge winners will present their work on the 22nd. In addition to the regular program, we will also host a reception on the 18th evening with a live music band. Stay tuned for the location.

Introduction

The CVPR 2018 Workshop on Autonomous Driving (WAD) is the combined venue for The 9th international Workshop on Computer Vision in Vehicle Technology (CVVT) and perception challenges with newly collected and fine-annotated large scale datasets. It aims to get together researchers and engineers from academia and industries to discuss computer vision applications in autonomous driving. In this one and half day work, we will have regular paper presentations, invited speakers, panel discussions, and technical benchmark challenges to present the current state of the art, as well as the limitations and future directions for computer vision in autonomous driving, arguably the most promising application of computer vision and AI in general.

PAPER Track

We invite the submission of original research contributions in computer vision addressed to:

We will host a challenge to understand the current status of computer vision algorithms in solving the environmental perception problems for autonomous driving. We have prepared a number of large scale datasets with fine annotation, collected and annotated by Berkeley Deep Driving Consortium or Baidu Inc. Based on the datasets, we have define a set of four realistic problems and encourage new algorithms and pipelines to be invented for autonomous driving. More specifically, they are